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Pre-Procedural Guidelines for Assessing Blood Pressure01:10

Pre-Procedural Guidelines for Assessing Blood Pressure

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Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
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Related Experiment Video

Updated: Jul 16, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Optimising Preeclampsia First-Trimester Screening Using Three Parameters.

Shehla Baqai1,2, Shazia Tufail1,2, Anam Waheed

  • 1Department of Gynaecology and Obstetrics, CMH Lahore Medical College and Institute of Dentistry, National University of Medical Sciences, Lahore, Pakistan.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
|September 11, 2023
PubMed
Summary

The Fetal Medicine Foundation (FMF) algorithm showed a 38% detection rate for preeclampsia, which is better than using maternal risk factors alone. Further adjustments may improve its predictive accuracy for this condition.

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Area of Science:

  • Obstetrics and Gynecology
  • Maternal-Fetal Medicine
  • Clinical Prediction Modeling

Background:

  • Preeclampsia (PE) is a significant cause of maternal and fetal morbidity.
  • Early prediction of PE is crucial for timely intervention and improved outcomes.
  • Current risk assessment strategies have limitations in accurately identifying high-risk pregnancies.

Purpose of the Study:

  • To evaluate the predictive performance of the first-trimester Fetal Medicine Foundation (FMF) screening algorithm for preeclampsia.
  • To compare the algorithm's accuracy against prediction solely based on maternal risk factors.

Main Methods:

  • An observational study was conducted with 100 pregnant women at gestational age < 13 weeks.
  • The FMF screening algorithm incorporated maternal characteristics, mean arterial pressure, and uterine pulsatility index.
  • Participants were followed until delivery to ascertain PE development and fetomaternal outcomes.

Main Results:

  • The FMF algorithm categorized 22% of patients as high-risk.
  • Preeclampsia developed in 13 patients.
  • The algorithm achieved a 38% detection rate, 75% diagnostic accuracy, and a 20% false positive rate at a 1:100 risk cut-off.

Conclusions:

  • The adapted FMF algorithm demonstrated a low but superior performance compared to maternal risk factors alone in predicting preeclampsia.
  • Further improvements in detection rates may be achieved by adjusting for additional factors or ethnicity-specific values.